Restaurants harness technology to create personalized menus
Implications - Any consumer would prefer a personally cooked meal over stock menu items. While restaurants are well aware of that axiom, diner-specific dishes haven't previously been scalable beyond the confines of ultra-luxury eating. However, savvy restaurateurs have now found a solution, using AI and big data analysis to efficiently curate meals for each new patron. Likewise, businesses that use the power of AI can increase loyalty and enjoyment through directly personal experiences and products.
Workshop Question - How could your business use AI to make a personalized experience for consumers?
Trend Themes
1. Personalized AI Menus - Restaurants are harnessing AI technology to create personalized menus using big data analysis, and businesses can also use the power of AI to increase loyalty through personal experiences and products.
2. Scientific Menu Creation - Restaurants like Shiba Ramen are using empirical, chemistry-based recipe development to create "scientifically flavorful" dishes.
3. Data-driven Menus and Personalization - Advancements in technology are allowing restaurants and QSRs to implement digital menu systems that are updated based on sales patterns, local events and weather. DNA-based meals are also emerging as an option catered to diners' specific dietary needs as identified through genetic testing.
Industry Implications
1. Restaurant Technology - Restaurants can leverage AI technology in the form of personalized menus, while also implementing digital menu systems to optimize operations and offer a seamless experience for diners.
2. Fast Food Tech - Fast food chains like Long John Silver's are seeking to upgrade drive-thrus through implementing advanced digital systems and ultimately aiming for full automation.
3. Third-party Delivery Services - Delivery services like UberEats are helping to bridge the gap between diners and local restaurants that may not traditionally offer takeout through creating virtual restaurants based on neighborhood data.
